Shenghui Huang

ORCID: 0000-0002-3714-1961
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About
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Research Areas
  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • RNA Research and Splicing
  • Antimicrobial Peptides and Activities
  • RNA modifications and cancer
  • Biochemical and Structural Characterization
  • vaccines and immunoinformatics approaches
  • Genomics and Phylogenetic Studies
  • Protein Structure and Dynamics
  • Nicotinic Acetylcholine Receptors Study
  • Gout, Hyperuricemia, Uric Acid
  • Safety and Risk Management
  • Osteoarthritis Treatment and Mechanisms
  • Lipid Membrane Structure and Behavior
  • RNA regulation and disease
  • Cancer-related molecular mechanisms research
  • Neurogenesis and neuroplasticity mechanisms
  • Nuclear Receptors and Signaling
  • Disaster Response and Management

Wenzhou Medical University
2022-2024

Inner Mongolia University
2019-2022

Abstract By reducing amino acid alphabet, the protein complexity can be significantly simplified, which could improve computational efficiency, decrease information redundancy and reduce chance of overfitting. Although some reduced alphabets have been proposed, different classification rules produce distinctive results for sequence analysis. Thus, it is urgent to construct a systematical frame alphabets. In this work, we constructed comprehensive web server called RAACBook analysis machine...

10.1093/database/baz131 article EN cc-by Database 2019-01-01

Alternative splicing (AS) is a fundamental mechanism that regulates gene expressionin both physiological and pathological processes. This article introduces ASTK, software package covering upstream downstream analysis of AS. Initially, ASTK offers module to perform enrichment at the gene‐ exon‐level incorporate various impacts by different spliced events on single gene. We further cluster AS genes alternative exons into three groups based exon sizes (micro‐, mid‐, macro‐), which are...

10.1002/aisy.202300594 article EN Advanced Intelligent Systems 2024-02-07

Antimicrobial peptides (AMPs) are considered as potential substitutes of antibiotics in the field new anti-infective drug design. There have been several machine learning algorithms and web servers identifying AMPs their functional activities. However, there is still room for improvement prediction feature extraction methods. The reduced amino acid (RAA) alphabet effectively solved problems simplifying protein complexity recognizing structure conservative region. This article goes into...

10.3389/fgene.2021.669328 article EN cc-by Frontiers in Genetics 2021-04-20

The cingulate cortex is part of the conserved limbic system, which considered as a hub emotional and cognitive control. Accumulating evidence suggested that involvement significant for impairment Parkinson's disease (PD). However, mechanistic studies in PD pathogenesis are limited. Here, transcriptomic regulatory network analyses were conducted PD. Enrichment clustering showed genes involved regulation membrane potential glutamate receptor signalling pathway upregulated. Importantly, myelin...

10.1049/syb2.12043 article EN cc-by-nc-nd IET Systems Biology 2022-04-08

Defensins as 1 of major classes host defense peptides play a significant role in the innate immunity, which are extremely evolved almost all living organisms. Developing high-throughput computational methods can accurately help designing drugs or medical means to against pathogens. To take up such challenge, an up-to-date server based on rigorous benchmark dataset, referred iDEF-PseRAAC, was designed for predicting defensin family this study. By extracting primary sequence compositions...

10.1177/1176934319867088 article EN cc-by-nc Evolutionary Bioinformatics 2019-01-01

Gout is a prevalent and painful inflammatory arthritis, its global burden continues to rise. Intense pain induced by gout attacks major complication of gout. However, systematic studies inflammation are lacking. Using monosodium urate (MSU) crystal-induced model, we performed genome-wide transcriptome analysis the inflamed ankle joint, dorsal root ganglion (DRG), spinal cord gouty mice. Our results revealed important transcriptional changes, including highly elevated broad activation immune...

10.1177/17448069221097760 article EN cc-by-nc Molecular Pain 2022-04-16

Background: As the pathogen of malaria, malaria parasite secretes a variety proteins for its growth and reproduction. Objective: The identification secretory has crucial reference significance development anti-malaria vaccines as well medicine. Methods: In this study, computational classification method was developed to identify secreted Plasmodium. Amino acid composition, dipeptide tripeptide composition reduced amino acids alphabets were proposed illuminate protein sequences. We further...

10.2174/1386207323666200402084518 article EN Combinatorial Chemistry & High Throughput Screening 2020-04-02

Background: Presynaptic and postsynaptic neurotoxins are two important neurotoxins. Due to the role of presynaptic in pharmacology neuroscience, identification them becomes very biology. Method: In this study, statistical test F-score were used calculate difference between amino acids biological properties. The support vector machine was predict by using reduced acid alphabet types. Results: By as input parameters machine, overall accuracy our classifier had increased 91.07%, which highest...

10.2174/1574893615999200707150512 article EN Current Bioinformatics 2020-07-07

Abstract Alternative splicing (AS) is a fundamental mechanism that regulates gene expression. Splicing dynamics involved in both physiological and pathological processes. In this paper, we introduce ASTK, software package covering upstream downstream analysis of AS. Initially, ASTK offers module to perform enrichment at the gene- exon-level incorporate various impacts by different spliced events on single gene. We further cluster AS genes alternative exons into three groups based exon sizes...

10.1101/2023.01.03.522470 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-01-04
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